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University of Twente

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Postdoctoral Researcher Integrating In-Well DAS with Seismological Stations for Offshore Near-Real-Time Monitoring University of Twente in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral contract for 1 year with the possibility of a 1-year extension depending on fund availability; gross monthly salary €4,251–€5,760 plus 8% holiday allowance and 8.3% year-end bonus.

Deadline

Nov 20, 2026

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Country

Netherlands

University

University of Twente

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Keywords

Computer Science
Signal Processing
Time Series Analysis
Seismology
Geophysics
Earth Science
Statistics
Physics
ML

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About this position

This postdoctoral project focuses on developing new methods for offshore near-real-time seismic monitoring by combining in-well distributed acoustic sensing (DAS) with offshore seismological station data. The work addresses the challenge of observing seismic activity in offshore settings, where access is limited and instrumentation is sparse, by transforming existing fiber-optic cables into dense sensing arrays that can complement newly developed offshore stations.

You will work on integrating complementary observations through advanced signal processing, machine learning, and physics-based simulations to improve the detection, localization, and characterization of seismic events beneath the seabed. The project aims to create scalable workflows for offshore seismicity monitoring that can be applied in challenging marine environments.

The position is based in the Department of Geosciences at the University of Twente, within an interdisciplinary research environment spanning seismology, geophysics, signal processing, and geospatial data science. You will collaborate closely with researchers from KNMI and EBN, and work within a large Horizon Europe CETP consortium led by NORSAR. The role offers engagement with academic, governmental, and industrial partners, as well as opportunities to contribute to scientific publications, conference presentations, open-source algorithms, teaching, and supervision activities related to geophysical monitoring and data integration.

Funding details

Full-time postdoctoral contract for 1 year with the possibility of a 1-year extension depending on fund availability; gross monthly salary €4,251–€5,760 plus 8% holiday allowance and 8.3% year-end bonus.

What's required

A (soon-to-be-obtained) PhD in seismology, DAS, deep learning related to Earth sciences, or a related field is required. Applicants should have good spoken and written English, the ability to handle and process seismological time series datasets, and programming experience in Python, MATLAB, C and/or Fortran. Experience with a major machine-learning framework such as PyTorch, TensorFlow, or JAX is required. Familiarity with inverse theory is desirable but not essential. The post also calls for curiosity in numerical methods for partial differential equations, big data management, and supercomputing facilities, together with strong conceptual, communication, problem-solving, organizational, independent, creative, and team-collaboration skills.

How to apply

Apply through the AcademicTransfer portal using the provided application link. Submit a one-page motivation letter, a detailed CV with two references, publications, projects and work experience, and an academic transcript for BSc and MSc together with your PhD thesis or the latest draft in English (or a 5-page English summary if needed). Incomplete applications will not be considered.

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